code: def __init__(self, start=0.0, stop=5.0, num_gaussians=50):
      super().__init__()
      offset = torch.linspace(start, stop, num_gaussians)
      self.coeff = -0.5 / (float(offset[1]) - float(offset[0])) ** 2
      self.register_buffer("offset", offset)
  
imports: import torch
  from torch import Tensor
  from torch.nn import BatchNorm1d, Embedding, Linear, ModuleList, Sequential
  from torch_geometric.nn import radius_graph
  from torch_geometric.nn.inits import reset
  from torch_geometric.nn.models.dimenet import triplets
  from torch_geometric.nn.models.schnet import ShiftedSoftplus
  from torch_geometric.typing import OptTensor
  from torch_geometric.utils import scatter
label_desc: Use image node_id 1 to create a new GaussianFilter object from inherited base classes: torch.nn with example: obj = GaussianFilter(start, stop, num_gaussians)